Although studies have shown that client feedback can improve treatment outcome, little is known about which factors might possibly moderate the effects of such feedback. The present study investigated potential therapist variables that might influence whether frequent client feedback is effective, including the Big Five personality traits, internal/external feedback propensity and self-efficacy. Data from two previous studies, a quasi-experimental study and a randomized controlled trial, were combined. The sample consisted of 38 therapists and 843 clients (55.4% females, mean age = 42.05 years, SD = 11.75) from an outpatient mental health institution. The control condition consisted of cognitive-behavioural therapies combined with low frequency monitoring of clients' symptoms. In the experimental condition, high-intensity (i.e., frequent) client feedback as an add-on to treatment as usual was provided. Outcomes were measured as adjusted post-treatment symptom severity on the Symptom Checklist-90 and drop out from treatment. The final model of the multilevel analyses showed that therapists with higher levels of self-efficacy had poorer treatment outcomes, but when high-intensity client feedback was provided, their effectiveness improved. Furthermore, higher self-efficacy was associated with a higher estimation of therapists' own effectiveness, but therapists' self-assessment of effectiveness was not correlated with their actual effectiveness. The results of this study might indicate that therapists with high levels of self-efficacy benefit from client feedback because it can correct their biases. However, for therapists with low self-efficacy, client feedback might be less beneficial, possibly because it can make them more insecure. These hypotheses need to be investigated in future research.
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http://dx.doi.org/10.1002/cpp.2828 | DOI Listing |
Sensors (Basel)
January 2025
Hochgebirgsklinik, Medicine Campus Davos, Herman-Burchard-Strasse 1, 7270 Davos, Switzerland.
Continuous glucose monitoring (CGM) might provide immediate feedback regarding lifestyle choices such as diet and physical activity (PA). The impact of dietary habits and physical activity can be demonstrated in real time by providing continuous data on glucose levels and enhancing patient engagement and adherence to lifestyle modifications. Originally developed for diabetic patients, its use has recently been extended to a non-diabetic population to improve cardiovascular health.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Public Health Sciences, Clemson University, Clemson, SC, USA.
Background: Rich data on diverse patients and their treatments and outcomes within Electronic Health Record (EHR) systems can be used to generate real world evidence. A health recommender system (HRS) framework can be applied to a decision support system application to generate data summaries for similar patients during the clinical encounter to assist physicians and patients in making evidence-based shared treatment decisions.
Objective: A human-centered design (HCD) process was used to develop a HRS for treatment decision support in orthopaedic medicine, the Informatics Consult for Individualized Treatment (I-C-IT).
Lancet Gastroenterol Hepatol
January 2025
Department of Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele and University Vita-Salute San Raffaele, Milan, Italy.
Background: Tamuzimod (VTX002) is a selective sphingosine 1-phosphate receptor 1 modulator in development for ulcerative colitis. We aimed to assess the safety and efficacy of tamuzimod in patients with moderately-to-severely active ulcerative colitis.
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Medicine (Baltimore)
January 2025
Division of Hematology/Oncology, Department of Pediatrics, Chang Gung Memorial Hospital, Chang Gung University, Taoyuan, Taiwan.
The increasing popularity of medical tourism has sparked interest from policymakers, researchers, and the media. Factors influencing medical tourism include service quality, availability, economics, and cultural differences. This study aims to analyze the key factors that influence destination selection for medical tourists.
View Article and Find Full Text PDFStrahlenther Onkol
January 2025
Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Background: This study aims to evaluate the capabilities and limitations of large language models (LLMs) for providing patient education for men undergoing radiotherapy for localized prostate cancer, incorporating assessments from both clinicians and patients.
Methods: Six questions about definitive radiotherapy for prostate cancer were designed based on common patient inquiries. These questions were presented to different LLMs [ChatGPT‑4, ChatGPT-4o (both OpenAI Inc.
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